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J = <a href="%pathto:imop.vl_imwbackward;">VL_IMWBACKWARD</a>(I, X, Y) returns the values of image I at
locations X,Y. X and Y are real matrices of arbitrary but
identical dimensions. I is bilinearly interpolated between samples
and extended with NaNs to the whole real plane.
</p><p>
[J,JX,JY] = <a href="%pathto:imop.vl_imwbackward;">VL_IMWBACKWARD</a>(...) returns the warped derivatives JX and
JY too.
</p><p>
By default, <a href="%pathto:imop.vl_imwbackward;">VL_IMWBACKWARD</a>() assumes that the image I uses the standard
coordinate system. <a href="%pathto:imop.vl_imwbackward;">VL_IMWBACKWARD</a>(XR,YR,I,X,Y) assumes instead that I
is defined on a rectangular grid specified by the vectors XR and
YR.
</p><p>
<a href="%pathto:imop.vl_imwbackward;">VL_IMWBACKWARD</a>() is less general than the MATLAB native function
INTERP2(), but it is significantly faster.
</p><p>
See also: IMWFORWARD(), INTERP2(), <a href="%pathto:vl_help;">VL_HELP</a>().
</p></div></group>
